Dataset Versions

v5

2023-10-18 9:53pm

Generated on Oct 18, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
1146Images
Valid Set 8%
109Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Static Crop: 24-100% Horizontal Region, 34-86% Vertical Region
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -45% and +45%

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